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Financial System Operations - Senior Associate

JPMorgan Chase

Financial System Operations - Senior Associate

JPMorgan Chase

Columbus, OH, United States, US

·

On-site

·

Full-time

·

2w ago

Join our dynamic Firmwide Forecast & Analysis team at JP Morgan as a Financial System Operations Senior Associate. This role is pivotal in delivering data and reporting for P&A, CFO, Board, and Regulator insights into firm-wide financial performance and projections. You will leverage your expertise in financial systems and data analytics to streamline processes, enhance data integrity, and support financial calculations and reporting.

Job Responsibilities

  • Leverage various technologies and data analytics skills to streamline financial data collection and aggregation processes.
  • Build and execute financial calculations, including consolidated P&L, balance sheet, and capital forecasts for the Firm and its major Legal Entities.
  • Support controls surrounding the data and systems used to inform the Firm’s financial performance and projections (budget, outlook, etc.).
  • Collaborate with technology teams to modernize supporting infrastructure and deliver flexible self-service tools to end-users.
  • Analyze, evaluate, and challenge current and future state business processes and application architecture to identify opportunities for improvement and automation in forecast consolidation processes.

Required qualifications, skills, and capabilities

  • Bachelor’s degree in Accounting, Finance, or a technical subject.
  • 2+ years of experience in technology, product ownership, and/or finance.
  • Proven leadership skills, with experience driving cross-functional and global teams to deliver on large financial data initiatives.
  • Proficiency in data gathering, modeling, manipulation, analytics, and problem-solving, with the ability to present conclusions concisely.
  • Familiarity with financial concepts and calculations used to deliver accurate financial results and business insights.
  • Strong verbal and written communication skills, with the ability to articulate complex issues clearly.
  • Highly motivated self-starter with excellent time management and prioritization skills.

Preferred qualifications, capabilities, and/or skills

  • Data analytics and modeling using Python, SQL, and/or R.
  • Experience with BI tools such as Tableau, Thought Spot, and Alteryx.
  • Familiarity with Agile principles and tools such as Confluence/JIRA.
  • Experience with forecast aggregation tools such as Anaplan and Essbase.

To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment-based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).

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About JPMorgan Chase

JPMorgan Chase

JPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.

300,000+

Employees

New York City

Headquarters

Reviews

4.2

10 reviews

Work Life Balance

4.2

Compensation

4.3

Culture

4.5

Career

4.4

Management

4.1

75%

Recommend to a Friend

Pros

Good pay and benefits

Work-life balance

Career advancement opportunities

Cons

Heavy workload at times

Career advancement takes time

Pay could be better in some roles

Salary Ranges

47 data points

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analyst

21 reports

$126,500

total / year

Base

$110,000

Stock

-

Bonus

-

$95,450

$155,250

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

HireVue Video Interview

3

Technical/Behavioral Assessment

4

Final Interview Round

5

Offer Decision

Common Questions

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit

Case Study